Prof. Dr. Florian Marquardt

Lehrstuhl für Theoretische Physik

Fully nonlinear neuromorphic computing with linear wave scattering (2024) Wanjura CC, Marquardt F Journal article Deep Bayesian experimental design for quantum many-body systems (2023) Sarra L, Marquardt F Journal article Realizing a deep reinforcement learning agent for real-time quantum feedback (2023) Reuer K, Landgraf J, Fösel T, O’Sullivan J, Beltrán L, Akin A, Norris GJ, et al. Journal article Deep-Learning Approach for the Atomic Configuration Interaction Problem on Large Basis Sets (2023) Bilous P, Pálffy A, Marquardt F Journal article Self-Learning Machines Based on Hamiltonian Echo Backpropagation (2023) López-Pastor V, Marquardt F Journal article Gradient-Ascent Pulse Engineering with Feedback (2023) Porotti R, Peano V, Marquardt F Journal article Investigation of inverse design of multilayer thin-films with conditional invertible neural networks (2023) Luce A, Mahdavi A, Wankerl H, Marquardt F Journal article Tunneling-induced fractal transmission in valley Hall waveguides (2023) Shah T, Marquardt F, Peano V Journal article Topological Transport in a Nanoscale Optomechanical Array (2023) Marquardt F Conference contribution Learning quantum systems (2023) Gebhart V, Santagati R, Gentile AA, Gauger EM, Craig D, Ares N, Banchi L, et al. Journal article, Review article